Migration Survey 2019
Senegal, 2019
Get Microdata
Reference ID
SEN_2019_MIG_v01_M
Producer(s)
The World Bank, CRES- Consortium for Economic and Social Research
Metadata
Created on
Oct 03, 2025
Last modified
Oct 03, 2025
Page views
69295
Downloads
681
- Data files
-
base
comunautaire_public.dta - Section0_public.dta
- Section1_public.dta
- Section2_public.dta
- Section3_menage_public.dta
- Section3_scolarité_public.dta
- Section4_public.dta
- Section5_menage_public.dta
- Section5_migrant_public.dta
- Section6_menage_public.dta
- Section6_migrant_public.dta
- Section7_public.dta
- Section8_public.dta
- Section9_migrant_potentiel_public.dta
- Section9_migrant_retour_public.dta
La commune de résidence du migrant au dernier contact (p05_21_a)
Data file: Section5_migrant_public.dta
Overview
Valid:
704
Invalid:
1824
Minimum:
11
Maximum:
141
Mean:
33.4105113636364
Standard deviation:
33.4251964614474
Type:
Discrete
Decimal:
0
Start:
394
End:
396
Width:
3
Range:
11 - 141
Format:
Numeric
Questions and instructions
Literal question
Quel était le dernier lieu de résidence de (NOM) au dernier contact? La commune
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | DAKAR | 377 |
53.6%
|
| 12 | PIKINE | 18 |
2.6%
|
| 13 | RUFISQUE | 10 |
1.4%
|
| 14 | GUEDIAWAYE | 3 |
0.4%
|
| 21 | BIGNONA | 6 |
0.9%
|
| 22 | OUSSOUYE | 0 |
0%
|
| 23 | ZIGUINCHOR | 29 |
4.1%
|
| 31 | BAMBEY | 0 |
0%
|
| 32 | DIOURBEL | 13 |
1.8%
|
| 33 | M’BACKE | 20 |
2.8%
|
| 41 | DAGANA | 2 |
0.3%
|
| 42 | PODOR | 13 |
1.8%
|
| 43 | SAINT LOUIS | 11 |
1.6%
|
| 51 | BAKEL | 2 |
0.3%
|
| 52 | TAMBACOUNDA | 42 |
6%
|
| 53 | GOUDIRY | 13 |
1.8%
|
| 54 | KOUPENTOUM | 2 |
0.3%
|
| 61 | KAOLACK | 18 |
2.6%
|
| 62 | NIORO | 3 |
0.4%
|
| 63 | GUINGUINEO | 0 |
0%
|
| 71 | M’BOUR | 21 |
3%
|
| 72 | THIES | 26 |
3.7%
|
| 73 | TIVAOUANE | 4 |
0.6%
|
| 81 | KEBEMER | 2 |
0.3%
|
| 82 | LINGUERE | 1 |
0.1%
|
| 83 | LOUGA | 6 |
0.9%
|
| 91 | FATICK | 3 |
0.4%
|
| 92 | FOUNDIOUGNE | 0 |
0%
|
| 93 | GOSSAS | 1 |
0.1%
|
| 101 | KOLDA | 7 |
1%
|
| 102 | VELINGARA | 1 |
0.1%
|
| 103 | MEDINA YORO FOULAH | 1 |
0.1%
|
| 111 | MATAM | 14 |
2%
|
| 112 | KANEL | 2 |
0.3%
|
| 113 | RANEROU | 0 |
0%
|
| 121 | KAFFRINE | 11 |
1.6%
|
| 122 | BIRKELANE | 0 |
0%
|
| 123 | KOUNGHEUL | 5 |
0.7%
|
| 124 | MALEM HODDAR | 1 |
0.1%
|
| 131 | KEDOUGOU | 13 |
1.8%
|
| 132 | SALEMATA | 0 |
0%
|
| 133 | SARAYA | 0 |
0%
|
| 141 | SEDHIOU | 3 |
0.4%
|
| 142 | BOUNKILING | 0 |
0%
|
| 143 | GOUDOMP | 0 |
0%
|
| Sysmiss | 1824 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.